Podcasts about Product management

Welcome to a special author's episode of The Data Chief, where we delve into the minds of three influential authors who are shaping the conversation around data and AI. First, Geoff Woods, author of The AI-Driven Leader, shares his philosophy of prioritizing strategy over technology to make faster, smarter decisions. Next, Wendy Batchelder, author of The Data Governance Handbook, discusses how to transform governance from a rigid bureaucracy into a business accelerator by focusing on business outcomes. Finally, Malcolm Hawker, author of The Data Hero Playbook, challenges data leaders to adopt a heroic mindset by becoming customer-driven and aligning their incentives with business success. Join us to learn how to lead effectively in the AI era by building a strategy-driven, governed, and customer-centric data function.The Data Chief Podcast: Author Episode Key MomentsGeoff Woods: The AI-Driven LeaderFrom "IT Problem" to Strategic Partner (06:20): Woods advocates for viewing AI as a "strategic thought partner" rather than an assistant or replacement, and emphasizes that AI strategy must align with business strategy.The CRIT Framework for Smarter Prompts (12:25): He introduces the CRIT framework for prompt engineering: Context, Role, Interview, Task. This method helps leaders get non-obvious, high-impact strategies from AI by having the AI ask the right questions.Beyond the Bottom Line: AI's Human Impact (22:17): Woods discusses the ROI of AI, including a case where AI identified savings equivalent to 2% of a company's revenue. Wendy Batchelder: The Data Governance HandbookData Governance as an Accelerator (32:33): Wendy Batchelder addresses the myth that data governance is a "dirty word" or a code for "no," arguing that its true purpose is to be an accelerator.Speaking the Language of Business (35:17): Batchelder emphasizes that data governance should be embedded from the start of a project, not as an afterthought. She provides an example of "bad" vs. "good" communication, urging data professionals to speak the language of the business.Measuring Value with Business Outcomes (40:00): She outlines how to measure the value of data governance by connecting it to business outcomes like increased revenue or improved customer service. Malcolm Hawker: The Data Hero PlaybookFrom Limiting Mindset to Growth Mindset (56:00): Hawker discusses why he wrote the book, calling the current moment a "do or die" opportunity for CDOs. He challenges the "limiting mindset" that leads to defeatism.Customer-Driven, Not Data-Driven (1:08:00): He urges data leaders to be "customer-driven, not data-driven," emphasizing the need for data teams to become more business literate.The Power of Product Management (1:14:00): Hawker advocates for bringing product management disciplines into data teams. This approach focuses on putting the customer at the center and ensures that data products are economically viable and tied to ROI.Key Quotes:"It is not technology first, strategy second. It is strategy first, technology second.” - Geoff Woods"The companies that are treating data as something that helps drive business outcomes are thinking about data at the beginning and set up at the end." - Wendy Batchelder“If you deliver value to your customers, if you are the lever of change and transformation in your organization, if you show value from data, you will get a seat at the table." - Malcolm HawkerMentionsThe AI-Driven Leader: Harnessing AI to Make Faster, SmarterHow AI is transforming strategy developmentData Governance Handbook: A practical approach to building trust in data5 key reasons why data analytics is important to businessThe Data Hero Playbook: Developing Your Data Leadership SuperpowersCDOs and CDAOs: Rethink your role or fade awayGuest Bios:About Geoff Woods Geoff Woods is the #1 bestselling author of The AI-Driven Leader, host of the AI-Driven Leader podcast, and Founder of AI Leadership and The AI-Driven Leadership Collective™, a highly vetted network of executives collaborating to harness AI to build better businesses and better lives. As the former Chief Growth Officer of Jindal Steel & Power, Geoff's strategic leadership helped the company grow its market cap from $750 million to over $12 billion in just four years. Prior to that, he co-founded the training and consulting company behind The ONE Thing, advising businesses ranging from $10 million to $60 billion in annual revenue.About Wendy Batchelder Wendy Batchelder is a three-time Chief Data Officer across financial services, technology & healthcare industries, with a wide understanding of how to take highly technical aspects of data management and translate them into simple, concise business valued solutions that are practical and simple to understand. Her background has led her to lead global data & analytics organizations at four Fortune 500 companies. She approaches situations with curiosity and humility, which has led to applying innovative data solutions to challenges with increased complexity to deliver value that companies can measure.A lifelong learner, Wendy graduated from Miami University with a B.S. in Accounting and Information Systems, from Drake University with a Masters of Accountancy, from University of Iowa with an Executive MBA, and pursues ongoing education through Harvard Business School. Her work history includes EY, KPMG, Aviva, Wells Fargo, VMware and Salesforce.About Malcolm HawkerMalcolm helps senior business leaders harness the power of data to transform their businesses. As a former Gartner analyst, he has consulted with some of the world's largest and best-known brands on their enterprise information management strategies and digital transformation initiatives.He is a frequent public speaker on data and analytics best practices with a passion for Master Data Management (MDM) and Data Governance. He welcomes the opportunity to share practical and actionable insights on how companies can become truly data-driven by implementing the cultural, technical, and organizational changes needed for success in the digital age. He is also the author of The Data Hero Playbook. Hear more from Cindi Howson here. Sponsored by ThoughtSpot.

Vibe coding is a developer's dream, but in the enterprise, it can be a nightmare of risk and shadow IT. So how do you saddle the 'wild horse' of modern AI development? Dan Fernandez, VP of Product Management, Developer Services at Salesforce, joins the conversation to share the answer: a new category his team is pioneering called Enterprise Vibe Coding. This discussion reveals how to move beyond flashy greenfield AI demos and build for the reality of most enterprises, where the goal is to safely reuse existing systems, not reinvent them from scratch.Dan breaks down the specific guardrails Salesforce has built, from sandboxed environments for safe testing to automated "quality gates" that act as a bouncer for both human and AI-generated code. He shares the powerful lesson that building customer trust through policies like zero data retention is more important than any single feature. He explains why the real work of enterprise AI is more like secure "plumbing"—connecting the hardened systems you already have. This is an essential guide for any leader looking to apply the speed of AI to the complex reality of enterprise software.Get the guide: AI productivity guide for engineering leadersFollow the hosts:Follow BenFollow AndrewFollow today's guest(s):Unleash Your Innovation with Agentforce Vibes: Vibe Coding for the EnterpriseLearn more about Salesforce for Developers: developer.salesforce.comSalesforce Extensions for VS Code: VS Code MarketplaceSalesforce Code Builder: Learn more about the zero-install IDEConnect with Dan Fernandez: LinkedInReferenced in today's show:Future of tech leadership survey report 2025 - Riviera PartnersStop Avoiding Politics – Terrible Software Agentic Commerce I built ChatGPT with Minecraft redstone!Support the show: Subscribe to our Substack Leave us a review Subscribe on YouTube Follow us on Twitter or LinkedIn Offers: Learn about Continuous Merge with gitStream Get your DORA Metrics free forever

In this episode of Supply Chain Now, Scott Luton welcomes Angie Jula, Director of Product Management, and Matt Brolsma, Sr. Manager of Product Marketing at SPS Commerce, to discuss how AI and automation are transforming retail supply chains. Angie draws on more than a decade in product leadership, while Matt brings cross-functional expertise from both supplier and buyer perspectives. Together, they share how retailers can transform clean, connected data into actionable insights that enhance demand forecasting, supplier collaboration, and pricing strategy, all while reducing manual work that slows down their teams.From tackling organizational silos with cross-functional dashboards to equipping executives with real-time visibility, Angie and Matt emphasize why AI is no longer optional; it's a strategic imperative. They highlight case studies on supplier scorecarding, automation-driven fill rates, and proactive exception management, showing how early adopters are gaining competitive advantages in resilience, agility, and customer loyalty. This discussion is a roadmap for retailers navigating tariffs, disruptions, and the rising expectations of today's consumers.Jump into the conversation:(00:00) Intro(02:46) Warm-up stories: golf and DJing(05:36) Professional journeys and SPS Commerce background(07:31) How AI is reshaping retail supply chains(09:16) Barriers to AI adoption and implementation gaps(12:22) Retailer priorities in today's uncertain market(14:56) Why many retailers still manage suppliers manually(18:38) How AI is transforming supplier management(29:50) Breaking down silos with cross-functional understanding(31:20) SPS Commerce's role in enabling retail automation(33:53) Moving from reactive to proactive supplier management(37:10) How automation impacts team productivity(39:59) AI-driven strategic decision making in the C-Suite(44:48) Performance metrics as a competitive advantage(51:20) Practical advice for starting the automation journey(55:16) The billion-dollar question: key takeawaysAdditional Links & Resources:Connect with Angie Jula: https://www.linkedin.com/in/angie-jula-9aa59258/Connect with Matthew Brolsma: https://www.linkedin.com/in/matthewbrolsma/ Learn more about SPS Commerce: https://www.spscommerce.com/ Connect with Scott Luton: https://www.linkedin.com/in/scottwindonluton/Learn more about Supply Chain Now: https://supplychainnow.com Watch and listen to more Supply Chain Now episodes here: https://supplychainnow.com/program/supply-chain-now Subscribe to Supply Chain Now on your favorite platform: https://supplychainnow.com/join Work with us! Download Supply Chain Now's NEW Media Kit:

Send Jay comments via textWhen your children leave home, the loudest voice isn't always the one you want to hear—it's your inner critic. It whispers doubts, tells you "you shouldn't," "you can't," or "you're not enough," leaving you feeling stuck and uncertain about how to move forward. However, there's a practical, proven framework that can quiet the noise and help you reclaim your peace: Positive Intelligence (PQ).In this episode, we sit down with coach Kevin Gazarra to demystify PQ and explore how it applies to life after the nest empties. Kevin introduces us to the Judge and its nine accomplice saboteurs—Controller, Hyper-Achiever, Restless, Stickler, Pleaser, Hyper-Vigilant, Avoider, Victim, and Hyper-Rational—that hijack our thoughts with seemingly true but unhelpful stories. He explains how these saboteurs influence our daily lives and how shifting into the Sage mindset—empathy, curiosity, creativity, and decisive action—can transform challenges into opportunities.Highlights & Key Takeaways:Positive Intelligence (PQ) offers a prescriptive, practical approach to mental well-being.The Judge and its nine saboteurs undermine confidence and clarity.Moving from threat-based thinking to Sage powers—empathy, curiosity, creativity, and decisiveness—shifts your perspective.After caregiving and life changes, reframe your identity for reinvention instead of loss.The Pleaser pattern can lead to burnout—setting oxygen-mask boundaries prevents that.Join us and challenge the noisy inner critic. Map out a clear, actionable path for growth, reinvention, and community—because the person you already are has everything it takes to lead your best life.Here's your free PQ assessment and practical next steps!Kevin Gazzara BioDr. Kevin Gazzara - CEO of Magna Leadership Solutions, Management & Leadership Expert, Executive Positive Intelligence Coach, Professor at 5 Universities, Speaker, & Author of The Leader of OZ. Kevin worked for 18 years at Intel Corporation in positions from Program and Product Management to Leadership Development. He holds a BS in Commerce and Engineering, an MBA and a Doctorate of Management in Organizational Leadership. Find Kevin Online: Facebook, LinkeSupport the showFREE WORKBOOK3 Steps to Loving Your Empty Nest Life ENJOY THE SHOW?Don't miss an episode, subscribe via Apple Podcasts or follow on Spotify and many more. LOVE THE SHOW?Get your THIS EMPTY NEST LIFE swagReview us on Love the Podcast, Apple Podcasts, or Spotify -- reviews and ratings help others find us and we'd appreciate your support greatly.CONNECT WITH JAYEmail, LinkedIn, Instagram, or TikTok

Tom Molenaar: When Product Owners “Eat the Grass” for Their Teams Read the full Show Notes and search through the world's largest audio library on Agile and Scrum directly on the Scrum Master Toolbox Podcast website: http://bit.ly/SMTP_ShowNotes. The Great Product Owner: The Vision Catalyst "This PO had the ability to communicate the vision and enthusiasm about the product, even I felt inspired." Tom describes an exceptional Product Owner who could communicate vision and enthusiasm so effectively that even he, as the Scrum Master, felt inspired about the product. This PO excelled at engaging teams in product discovery techniques, helping them move from merely delivering features to taking outcome responsibility. The PO introduced validation techniques, brought customers directly to the office for interviews, and consistently showed the team the impact of their work, creating a strong connection between engineers and end users. The Bad Product Owner: The Micromanager "This PO was basically managing the team with micro-managing approach, this blocked the team from self-organizing." Tom encountered a Product Owner who was too controlling, essentially micromanaging the team instead of empowering them. This PO hosted daily stand-ups, assigned individual tasks, and didn't give the team space for self-organization. When Tom investigated the underlying motivation, he discovered the PO believed that without tight control, the team would underperform. Tom helped the PO understand the benefits of trusting the team and worked with both sides to clarify roles and responsibilities, moving from micromanagement to empowerment. In this segment, we refer to the book “Empowered” by Marty Cagan. Self-reflection Question: How do you help Product Owners find the balance between providing clear direction and allowing team autonomy? [The Scrum Master Toolbox Podcast Recommends]

“How do we turn inspiration into real-world impact?” In this episode, we are joined by Pragmatic Community leader Eddie Gordon to preview the upcoming Future of Product Management Summit—a free virtual event happening October 16 from 12–5 PM ET. Together, they explore the hottest topics shaping today's product landscape, from the implementation gap to the role of AI and the ongoing challenge of alignment across teams and executives. Listeners will get an inside look at the summit's live keynotes, interactive Q&A sessions, and networking opportunities designed to replicate the energy of in-person events. Highlights include Teresa Torres's keynote, “AI Changes Everything and Nothing at All,” a practical AI panel with Executive Product Leadership Advisors Dan Corbin, Amy Graham, and Will Scott, and sessions on alignment, impact-first product teams, and go-to-market strategy. This event is built different. The Future of Product Management Summit delivers actionable takeaways you can use immediately. Tune in for a sneak peek of the agenda, and don't forget to reserve your spot at the Future of Product Management Summit here. For show notes and more resources, visit: www.pragmaticinstitute.com/resources/podcasts Pragmatic Institute is the global leader in Product, Data, and Design training and certification programs for working professionals. Learn more at www.pragmaticinstitute.com.

Listen now on Apple, Spotify, and YouTube.—John Fontenot has spent a decade in tech, working initially in software partnerships for Intel's Software and Services Group where he was first introduced to the role of product management. In 2018 John made a pivot into a role as a UX Researcher to get his foot in the door of a product team for a small HRTech SaaS company and hasn't looked back. John has worked in a variety of Sr. IC product manager roles, Director and Group Product Manager roles, and is now serving as VP of Product Management for Terlumina, an Enterprise SaaS startup focused on healthcare compliance management. John also runs a program called Path2Product where he helps aspiring PMs transition into their first product management role. John is a huge proponent and student of UX Research and truly believes that good product management can't be done well without it.In our conversation, we discuss:* What “scrappy” product research really means and when it crosses the line into chaos.* Why PMs can (and should) learn research basics when they don't have a dedicated partner.* How to build trust with researchers without stepping on their toes.* Creative recruitment strategies when incentives aren't an option—and what that reveals about product-market fit.* The case against paying customers for interviews, and how to make people want to talk to you.Some takeaways:* Scrappy research isn't an excuse to be sloppy. Scrappy doesn't mean fast for the sake of speed, it means smart, efficient, and focused on risk. John outlines how some decisions call for deep, strategic research, especially when millions are on the line, while others don't need to be tested to death. The key is knowing the stakes and picking the right level of investment. Scrappy research works best when it's intentional, not reactionary.* John shares creative ways to reach users without incentives, like turning idea boards into interview leads or mining Facebook groups and Slack communities for warm outreach. In regulated industries where payments aren't allowed, trust and thoughtful messaging become even more important. The best outreach comes from doing your homework, if you know what people care about, they'll usually talk. Payment can create a transactional mindset; genuine interest creates better conversations.* With researchers often outnumbered 10 to 1, it's unrealistic to gatekeep all research tasks. But that doesn't mean PMs or designers should bulldoze their way in. John advocates for shared ownership with clear boundaries, where non-researchers offer support, not competition, by helping with smaller usability tasks or contributing to recruitment. Trust is built by asking first, showing competence, and being open to feedback.* Recruitment speed isn't always the goal. Paying for participants might help with speed, but it can muddy your insight quality. If no one wants to talk about the feature you're testing, that might be a signal it's not worth building. Slower recruitment through organic methods forces you to get sharper on messaging, segmentation, and whether the problem actually matters.* John argues that researchers are most valuable when they go beyond testing buttons and start shaping product direction. Researchers who understand business priorities and speak the language of product are better able to influence decisions. Likewise, PMs who understand research can spot poor methods and ask sharper questions. Everyone benefits when the team invests in learning across roles and when researchers step confidently into strategic conversations.Where to find John:* Website* LinkedIn* Blog* Why you should never pay for customer interviewsStop piecing it together. Start leading the work.The Everything UXR Bundle is for researchers who are tired of duct-taping free templates and second-guessing what good looks like.You get my complete set of toolkits, templates, and strategy guides. used by teams across Google, Spotify, , to run credible research, influence decisions, and actually grow in your role.It's built to save you time, raise your game, and make you the person people turn to—not around.→ Save 140+ hours a year with ready-to-use templates and frameworks→ Boost productivity by 40% with tools that cut admin and sharpen your focus→ Increase research adoption by 50% through clearer, faster, more strategic deliveryInterested in sponsoring the podcast?Interested in sponsoring or advertising on this podcast? I'm always looking to partner with brands and businesses that align with my audience. Book a call or email me at nikki@userresearchacademy.com to learn more about sponsorship opportunities!The views and opinions expressed by the guests on this podcast are their own and do not necessarily reflect the views, positions, or policies of the host, the podcast, or any affiliated organizations or sponsors. This is a public episode. If you'd like to discuss this with other subscribers or get access to bonus episodes, visit www.userresearchstrategist.com/subscribe

In this episode of Disruption/Interruption, host KJ interviews JB Baker, VP of Marketing and Product Management at ScaleFlux. They dive deep into the challenges and innovations in data storage and memory for AI workloads, discuss the hidden costs of data center inefficiency, and explore how ScaleFlux is disrupting the industry with advanced flash storage solutions. JB also shares insights from his endurance athlete mindset and offers advice for innovators. Key Takeaways: The Data Bottleneck in AI (2:01) The biggest challenge in AI infrastructure is not processing power, but storage and memory that can't keep up with demand. Hidden Costs in Data Centers (7:12) Up to 40% of data center power is spent on cooling, not processing, leading to massive inefficiencies and costs. ScaleFlux’s Disruptive Solution (15:38) ScaleFlux’s custom SSD controllers enable real-time data compression in hardware, doubling performance and reducing costs for enterprises. Endurance Mindset in Business (23:18) JB applies lessons from endurance sports to business, emphasizing persistence and continuous improvement as keys to innovation. Quote of the Show (3:41):"Those cores can process so much more data per second and so much more data per watt. But when the entire infrastructure isn't balanced, you're losing out on these efficiencies. And so there it is, creating hidden costs." — JB Baker Join our Anti-PR newsletter where we’re keeping a watchful and clever eye on PR trends, PR fails, and interesting news in tech so you don't have to. You're welcome. Want PR that actually matters? Get 30 minutes of expert advice in a fast-paced, zero-nonsense session from Karla Jo Helms, a veteran Crisis PR and Anti-PR Strategist who knows how to tell your story in the best possible light and get the exposure you need to disrupt your industry. Click here to book your call: https://info.jotopr.com/free-anti-pr-eval Ways to connect with JB Baker: LinkedIn: http://www.linkedin.com/in/jbbaker https://scaleflux.com How to get more Disruption/Interruption: Amazon Music - https://music.amazon.com/podcasts/eccda84d-4d5b-4c52-ba54-7fd8af3cbe87/disruption-interruption Apple Podcast - https://podcasts.apple.com/us/podcast/disruption-interruption/id1581985755 Spotify - https://open.spotify.com/show/6yGSwcSp8J354awJkCmJlDSee omnystudio.com/listener for privacy information.

Industrial Talk is onsite at Xcelerate 2025 and talking to Michael DeMaria, Director, Product Management at Fluke Reliability about "Prepare, Predict, Prevail". Scott Mackenzie and Michael DeMaria discuss the industrial trends and innovations at the Xcelerate 2025 event in Austin, Texas. Michael, a product manager at Fluke Reliability, highlights the importance of collaboration and learning from each other in the industry. He outlines the "Prepare, Predict, Prevail" theme, emphasizing the need for data-driven insights and automation to manage work orders effectively. Michael also addresses the generational gap in the workforce, stressing the importance of technology and communication to bridge this divide. The conversation underscores the role of Industry 5.0 in integrating human expertise with advanced technology. Action Items [ ] Explore ways to automate the work order creation and management process to handle the increasing volume of data and insights.[ ] Investigate how to better communicate the value of reliability and maintenance initiatives to upper management.[ ] Develop strategies to bridge the generational gap and enable knowledge transfer from the retiring workforce to the new generation of workers. Outline Introduction and Welcome to Industrial Talk Podcast Scott Mackenzie introduces the Industrial Talk Podcast, emphasizing its focus on industry professionals and their innovations.Scott MacKenzie welcomes listeners to the podcast, highlighting the importance of industry professionals and their contributions.The podcast is broadcasting live from Accelerate 2025 in Austin, Texas, sponsored by Fluke Reliability.Scott MacKenzie introduces Michael de Maria, a seasoned industry professional, and sets the stage for their discussion. Michael de Maria's Background and Role at Fluke Michael DeMaria shares his extensive experience in the industry, starting in 1980.He discusses his role as the product manager for the software and services solution at Fluke.Michael explains the three pillars of Fluke: Reliability Proof, Technic, Azema DLI, and Emerson.He provides a brief history of Azema DLI, its origins, and its significant Navy contracts. Discussion on Prepare, Predict, and Prevail Michael outlines the theme of the event: Prepare, Predict, and Prevail.He explains the importance of identifying needs and understanding machinery in the Prepare phase.The Predict phase focuses on making insights from data and creating actionable understanding.The Prevail phase involves automating work orders and ensuring efficient execution. Challenges and Solutions in Data Management Michael discusses the challenges of managing a vast amount of data, including 100 trillion data points.He emphasizes the importance of prioritizing data and leveraging limited skilled resources.The conversation touches on the criticality assessment of assets and its impact on data analysis.Michael highlights the automation of data capture and analysis to streamline processes. Automation and Work Order Management Michael explains the automation of work order creation and its benefits.He discusses the challenges of managing a backlog of work orders and the importance of prioritization.The conversation covers the need for daily management of data and work orders.Michael emphasizes the role of dashboards in presenting actionable information. Generational Gap and Technology Adoption Michael and Scott discuss...

AI strategist Tommy Högström, who has guided giants like Spotify, H&M, and McDonald's, reveals the truth about implementing AI, scaling product teams, and the entrepreneurial journey. From founding his own AI consultancy in Sweden to leading financial forecasting at Spotify and now launching a search fund to acquire a software business, Tommy offers a rare look inside the strategic shifts that separate hype from reality. This episode explores the tough transition from services to product, the evolution of Spotify's famous agile culture, and how to build data infrastructure that actually scales. Unlock the full potential of your product team with Integral's player coaches, experts in lean, human-centered design. Visit integral.io/convergence for a free Product Success Lab workshop to gain clarity and confidence in tackling any product design or engineering challenge. In this episode: The Spotify Model, Unfiltered: Learn how Spotify's culture and priorities shifted dramatically when its focus changed from pure user growth to profitability, and what that means for agile teams at scale. Services vs. Product: Tommy breaks down the conflicting incentives between short-term consulting revenue and long-term product value, and why he ultimately sold his shares in the company he founded. AI Isn't Magic, It's Data: Discover why you might need four data engineers for every data scientist and why thinking of AI as just an "IT project" is the biggest mistake companies make. The Search Fund Path: An inside look at the search fund model, where entrepreneurs raise capital to buy an existing profitable business and scale it as the new CEO. Mentioned in this episode: Gab AI  Xego AI  1Password  Tommy's LinkedIn: https://www.linkedin.com/in/tommyhogstroom Subscribe to the Convergence podcast wherever you get podcasts including video episodes to get updated on the other crucial conversations that we'll post on YouTube at youtube.com/@convergencefmpodcast Learn something? Give us a 5 star review and like the podcast on YouTube. It's how we grow.   Follow the Pod Linkedin: https://www.linkedin.com/company/convergence-podcast/ X: https://twitter.com/podconvergence Instagram: @podconvergence  

As part of our ongoing effort to equip product professionals with the best frameworks and resources, this episode takes a different turn. Moshe steps up as the main speaker to introduce the Product Manager Toolkit, a comprehensive framework he created to help product managers select and implement tools more efficiently and strategically.On the show, Moshe walks Matt through the toolkit live using Miro, highlighting how it's designed around the very principles they've discussed with guests throughout the history of the podcast. Now published as a template in Miroverse (with nearly 1,000 views and 44 copies!), the toolkit is freely available for product people everywhere. Moshe shares its origin, core components, and how it's become a valuable resource for teams mapping out their needs in today's dynamic product landscape. Join Matt and Moshe as they explore:The end-to-end workflow for product tool selection, from identifying needs and prioritizing requirements to shortlisting, testing, and implementing solutionsA visual ecosystem diagram capturing the full product management cycle, including ideation, strategy, delivery, and ongoing monitoringThe Product Manager Tool Mapping Template, guiding PMs to connect needs with tool options, while considering organization size, culture, maturity, and budgetInsights on the interconnectedness of modern product tools and prioritizing tasks by urgency and importanceThe ever-evolving list of 150+ product management tools on Airtable and the challenge of keeping resource lists up-to-datePractical product selection criteria, including wide vs. deep tools, entry-level vs. advanced features, integration requirements, AI support, vendor reliability, and customer supportThe importance of defining success criteria, creating rigorous test cases, and assessing support and long-term costs before making a commitmentWhy it's crucial to evaluate not just features and price, but factors like company culture, scalability, and support processesMoshe's vision for a book focused on tool selection frameworks - if you think it's a good idea, let him know!And much more!Ready to streamline your approach to tool selection? Access the Miroverse Product Manager Toolkit template, share your feedback, and join the conversation!You can find the toolkit and connect with Moshe at:Product Manager Toolkit Miroverse Template Products for Good: productsforgood.co LinkedIn: Moshe MikanovskyAnd don't forget to connect with Matt and the podcast:Product for Product PodcastMatt GreenNote: Any views mentioned in the podcast are the sole views of our hosts and guests, and do not represent the products mentioned in any way.Please leave us a review and feedback ⭐️⭐️⭐️⭐️⭐️

Jose Quesada on Discovery, Strategy, and the Value of Product Management Jose Quesada, VP of Product Management at American Express, joins Rina Alexin to unpack how Amex built a globally recognized mobile app by running discovery and delivery in parallel. From killing bad ideas quickly to making strategy concrete, Jose shows how product leaders can balance long-term vision with day-to-day execution... all while keeping skeptical stakeholders on board. Key Topics Discussed in This Episode Discovery ≠ delivery Why Amex runs two tracks in parallel and why “killing hypotheses” is as valuable as proving them. Stakeholder judo How to align skeptics, win champions, and use communication, relationships, and data to build trust. Strategy that sticks Building blocks of a good strategy, why context is everything, and how to link product bets to company goals. Why Listen to This Episode? In this thought-provoking episode, you'll gain: A practical model for running discovery and delivery in parallel Tactics for disproving bad ideas fast (and celebrating the red) Stakeholder management techniques that actually lower friction A blueprint for building strategies that align with business context If you're tired of being told “be more strategic” without any how-to, this conversation will give you concrete tools and mindset shifts you can use tomorrow. Related Resources Check out these additional tools and resources to add to your PM belt: Productside Resource Library More Productside Stories Podcast Episodes Explore Productside Courses 

In this episode, Felix Todd, Deputy Editor for Argus Carbon, and Harshad Kolpyakwar, Head of Product Management and Energy Solutions at FIS Global, explore how technology is transforming carbon markets and helping address key challenges. Harshad leads the vision and product strategy for Aligne, the FIS Energy Trading Risk and Logistics platform. Aligne is a cloud-native, multi-commodity ETRM that streamlines trading, risk, logistics, and reporting across power, gas, LNG, refined products, and emissions. With ~20 years in energy market data and analytics, Harshad focuses on simplifying energy market complexity, integrating emissions management, and enabling clients to scale confidently. Tune in for expert insights on: Current challenges in carbon markets, including transparency and pricing issues VCM facing issues with lack of standardisation, project integrity, and demanding due diligence How ETRM systems address market and operational challenges The future growth potential for carbon markets

Episode 398 of The VentureFizz Podcast features Izzat Jarudi, Co-Founder & CEO at Edifii. This episode was recorded live at Startup Boston Week at Suffolk University which is the third year that I've hosted it onsite. Thank you to Stephanie Roulic for the invitation, as it's a lot of fun and great to be involved in such a meaningful conference. And, since it was hosted live, this episode is audio only. In this interview, we start out discussing a topic that Izzat is uniquely qualified to cover that being the potential impact of AI on our cognitive brain function. AI is very powerful and it has so many amazing use cases, but what are the risks in terms of how it is being adopted for the human element? Will things like our desire to solve problems or leverage our creative abilities decline over time? Izzat has a background in brain and behavioral science from MIT and Yale, plus his company, Edifii, is an AI and Neuroscience-based mentor for students, counselors, and parents. It's definitely something to think about and I was excited to hear Izzat's point of view. In this interview, we also cover: * Izzat's background story and how he got his career starting in management consulting. * How he landed in Product management and his rise to a VP of Product Management role at Cambridge Mobile Telematics. * How he made the leap to entrepreneurship. * All the details about Ediffi and the impact its platform is making. * What makes a great Product Manager. * And so much more.

With so much happening in the world of HME resupply, it can be tough to tell the fact from the fiction — or even to keep up with the news. Joining the HME Business podcast to break down the space is Leah Blake, Vice President of Product Management, Resupply, at Brightree. In this interview, Leah and host Jack Silverstein discuss what is changing in the world of resupply and the biggest opportunities in resupply for HMEs and their patients. Leah also pulls back the curtain for us on AI in HME: she debunks the myths and misconceptions, lays out the opportunities and explores how AI can improve the patient experience. Tune in now!

Thanks Pressable for supporting the show! Get your special hosting deal at https://pressable.com/wpminuteBecome a WP Minute Supporter & Slack member at https://thewpminute.com/supportOn this episode of The WP Minute+ podcast, Matt Medeiros interviews Justin Nealey, Principal Product Manager at GoDaddy. They discuss the recently launched Airo Site Builder™ and the challenges of developing products on the WordPress platform. They explore the role of AI in enhancing user experience, the importance of user feedback, and the future of WordPress in relation to AI technology. Justin shares insights on product management, the integration of AI, and the ongoing efforts to improve the Airo product line.Takeaways:Justin describes his role as a Product Manager as having responsibility without power.Developing products on WordPress presents unique challenges due to its open-source nature.AI is seen as a tool to help users navigate WordPress more easily.User feedback is crucial for improving the Airo Site Builder.GoDaddy uses AI to enhance user experience and streamline processes.The integration of AI in WordPress is still evolving and presents growth opportunities.Justin emphasizes the importance of contributing back to the WordPress community.The Airo product line is designed to optimize user tasks with AI assistance.GoDaddy is focused on creating a unified system for its various AI tools.The future of WordPress may involve deeper integration with AI technologies.Important Links:GoDaddy BlogExploring GoDaddy's Airo™ Site DesignerThe WP Minute+ Podcast: thewpminute.com/subscribe ★ Support this podcast ★

BONUS: Nesrine Changuel shares how to create product delight through emotional connection! In this BONUS episode we explore the book by Nesrine Changuel: 'Product Delight - How to make your product stand out with emotional connection.' In this conversation, we explore Nesrine's journey from research to product management, share lessons from her experiences at Google, Spotify, and Microsoft, and unpack the key strategies for building emotionally resonant products that connect with users beyond mere functionality. The Genesis of Product Delight "I quickly realized that there is something that is quite intense while building Skype... it's not just that communication tool, but it was iconic, with its blue, with ringtones, with emojis. So it was clear that it's not just for making calls, but also to make you feel connected, relaxed, and part of it." Nesrine's journey into product delight began during her transition from research to product management at Skype. Working on products at major companies like Skype, Spotify, and Google Meet, she discovered that successful products don't just function well—they create emotional connections. Her role as "Delight PM" at Google Meet during the pandemic crystallized her understanding that products must address both functional and emotional user needs to truly stand out in the market. Understanding Customer Delight in Practice "The delight is about creating two dimensions and combining these two dimensions altogether, it's about creating products that function well, but also that help with the emotional connection." Customer delight manifests when products exceed expectations and anticipate user needs. Nesrine explains that delight combines surprise and joy—creating positive surprises that go beyond basic functionality. She illustrates this with Microsoft Edge's coupon feature, which proactively suggests discounts during online shopping without users requesting it. This anticipation of needs creates memorable peak moments that strengthen emotional connections with products. Segmenting Users by Motivators "We can discover that users are using your product for different reasons. I mean, we tend to think that users are using the product for the same reason." Traditional user segmentation focuses on demographics (who users are) or behavior (what they do). Nesrine advocates for motivational segmentation—understanding why users engage with products. Using Spotify as an example, she demonstrates how users might seek music for specific songs, inspiration, nostalgia, or emotional regulation. This approach reveals both functional motivators (practical needs) and emotional motivators (feelings users want to experience), enabling teams to build features aligned with user desires rather than assumptions. In this segment, we refer to Spotify Wrapped.  The Distinction from Jobs To Be Done "There's no contrast. I mean to be honest, it's quite aligned, and I'm a big fan of the job to be done framework." While aligned with Clayton Christensen's Jobs To Be Done framework, Nesrine's approach extends beyond identifying triggers to practical implementation. She acknowledges that Jobs To Be Done provides the foundational theory, distinguishing between personal emotional motivators (how users want to feel) and social emotional motivators (how they want others to perceive them). However, many teams struggle to translate these insights into actual product features—a gap her Product Delight framework addresses through actionable methodologies. Navigating the Line Between Delight and Addiction "Building for delight is about creating products that are aligned with users' values. It's about aligning with what people really want themselves to feel. They want to feel themselves, to feel a better version of themselves." The critical distinction between delight and addiction lies in value alignment. Delightful products help users become better versions of themselves and align with their personal values. Nesrine contrasts this with addictive design that creates dependencies contrary to user wellbeing. Using Spotify Wrapped as an example, she explains how reflecting positive achievements (skills learned, personal growth) creates healthy engagement, while raw usage data (hours spent) might trigger negative self-reflection and potential addictive patterns. Getting Started with Product Delight "If you only focus on the functional motivators, you will create products that function, but they will not create that emotional connection. If you take into consideration the emotional motivators in addition to the functional motivators, you create perfect products that connect with users emotionally." Teams beginning their delight journey should start by identifying both functional and emotional user motivators through direct user conversations. The first step involves listing what users want to accomplish (functional) alongside how they want to feel (emotional). This dual understanding enables feature development that serves practical needs while creating positive emotional experiences, leading to products that users remember and recommend. Product Delight and Human-Centered Design "Making products feel as if it was done by a human being... how can you make your product feel as close as possible to a human version of the product." Nesrine positions product delight within the broader human-centered design movement, but focuses specifically on humanization at the product feature level rather than just visual design. She shares examples from Google Meet, where the team compared remote meetings to in-person experiences, and Dyson, which benchmarks vacuum cleaners against human cleaning services. This approach identifies missing human elements and guides feature development toward more natural, intuitive interactions. In this segment we refer to the books Emotional Design by Don Norman, and Design for Emotion by Aarron Walter..  AI's Role in Future Product Delight "AI is a tool, and as every tool we're using, it can be used in a good way, or could be used in a bad way. And it is extremely possible to use AI in a very good way to make your product feel more human and more empathetic and more emotionally engaging." AI presents opportunities to enhance emotional connections through empathetic interactions and personalized experiences. Nesrine cites ChatGPT's conversational style—including apologies and collaborative language—as creating companionship feelings during work. The key lies in using AI to identify and honor emotional motivators rather than exploit them, focusing on making users feel supported and understood rather than manipulated or dependent. Developer Experience as Product Delight "If the user of your products are human beings... whether business consumer engineers, they deserve their emotions to be honored, so I usually don't distinguish between B2B or B2C... I say like B2H, which is business to human." Developer experience exemplifies product delight in B2B contexts. Companies like GitHub have created metrics specifically measuring developer delight, recognizing that technical users also have emotional needs. Tools like Jira, Miro, and GitHub succeed by making users feel more competent and productive. Nesrine advocates for "B2H" (business to human) thinking, emphasizing that any product used by humans should consider emotional impact alongside functional requirements. About Nesrine Changuel Nesrine is a product coach, trainer, and author with experience at Google, Spotify, and Microsoft. Holding a PhD from Bell Labs and UCLA, she blends research and practice to guide teams in building emotionally resonant products. Based in Paris, she teaches and speaks globally on human-centered design. You can connect with Nesrine Changuel on LinkedIn.

Terry Haayema: The Product Owner Who Made Retros Unsafe (And How We Fixed It) Read the full Show Notes and search through the world's largest audio library on Agile and Scrum directly on the Scrum Master Toolbox Podcast website: http://bit.ly/SMTP_ShowNotes. "The biggest anti-pattern was that he made the retro unsafe... he would come to the retro and called people out for things that had not been done." The Bad Product Owner: The PO Who Made Retros Unsafe Terry describes a product owner who came from a management background focused on widgets and KPIs, completely unprepared for the collaborative nature of the product owner role. This person's biggest anti-pattern was making retrospectives unsafe by calling out individual team members for things not completed or not done to his satisfaction. When gentle coaching interventions failed, Terry took the dramatic step of excluding the PO from retrospectives entirely. Surprisingly, this shock treatment worked - when the PO asked why he wasn't invited, Terry used SBI feedback (Situation, Behavior, Impact) to help him understand how his actions were destroying team dynamics. The story has a positive ending, with the PO eventually understanding and changing his approach. In this segment, we refer to the Retrospective Prime Directive, and the SBI feedback framework. The Great Product Owner: The Customer Connector Terry's best product owner example saw their role not just as the voice of the customer, but as the connector between team and customers. Instead of relying solely on user stories and personas, this PO organized regular informal events where real customers and team members could meet, share pizza and beer, and have genuine conversations. These social connections led to deep customer understanding and resulted in their best feature ever - a simple addition that showed customers their last six orders for easy reordering. This feature increased both order frequency and size while dramatically improving the team's ability to empathize with their users. Self-reflection Question: How might you help your product owner move from being the voice of the customer to being the bridge that connects your team directly with real users? [The Scrum Master Toolbox Podcast Recommends]

Welcome to a special launch series of the Pure Report podcast! Join us as we take a deep dive into Pure Storage's Intelligent Control Plane (ICP), a set of groundbreaking innovations redefining IT operations and enabling users to realize the Enterprise Data Cloud. We're thrilled to host Chadd Kenney, VP of Product Management, who helps us unpack how the ICP tackles data silos, operational complexity, and productivity bottlenecks, transforming hundreds of systems into what feels like one virtual cloud of data with Pure Fusion. Discover how Fusion Presets streamline policy-driven deployments, how intelligence extends to modern apps with Portworx native integration, and the exciting possibilities of AI-Copilot and Data Intelligence. In this episode, Chadd will share insights on how these innovations continue Pure Storage's core hallmark of simplicity in operations, delivering Evergreen architecture at a fleet-wide level. We'll explore how the ICP empowers operators with real-time awareness and workflow orchestration, as demonstrated at Accelerate in Las Vegas and New York, enabling full-stack, application-level outcomes. Plus, Chadd offers his "hot takes" on industry trends, common misconceptions about infrastructure automation, and the evolving role of the IT operator in the next five years. Tune in to understand how the Intelligent Control Plane and Pure Fusion are setting a new standard for data management.

"85% of AI use cases are being evaluated by the engineer who built it saying, 'yep, seemed to work pretty well.' If you're gonna build a system that's going to be critical to the business, that's going to be important that it gets it right, then you can't do that without evaluations." - Craig Wiley Fresh out of the studio, Craig Wiley, Senior Director of Product Management at Databricks who leads Mosaic AI, joins us to discuss the forefront of enterprise AI from model development to deployment at scale. Beginning with his career journey in ML operations, Craig explained how he recognized the critical connection between data and AI layers that could deliver order-of-magnitude acceleration in development cycles. Emphasizing the transition from classical ML operations to LLM operations, he showcased how Databricks' unified platform eliminates training-serving skew through data lineage capabilities and supports both fine-tuning and RAG approaches depending on industrial use case requirements. Highlighting compelling customer success stories including Suncorp's employee productivity platform and AstraZeneca's transformation of 400,000 clinical trial documents into queryable insights, Craig revealed a striking reality about enterprise AI evaluation - that 85% of AI use cases are being evaluated only by the engineers who built them, reinforcing that proper evaluation frameworks remain foundational for trustworthy AI implementation. He concluded by introducing Agent Bricks as Databricks' evaluation-centric approach to building production agents, emphasizing that model flexibility and rigorous testing are essential for enterprises moving from experimentation to production, while sharing his vision that the industry must evolve from the "year of agents" to the "year of evaluation and quality." Episode Highlights: [00:00] Quote of the Day by Craig Wiley [01:21] How Craig Wiley started his work in ML Ops that led him to Databricks [02:43] Data and AI layer connection creates order-of-magnitude acceleration [03:47] Mosaic AI acquisition expanded Gen AI solution capabilities [04:38] Classical ML statistics versus Gen AI evaluation challenges [05:48] Mosaic AI covers end-to-end from data ingestion [07:12] Training-serving skew eliminated through unified platform lineage [08:51] Fine tuning versus RAG depends on use case [10:49] Industrial agents benefit from fine-tuned smaller models [12:44] Common governance scheme covers tables through model access [13:52] Agent Bricks prioritizes accuracy over simplicity alone [15:44] Model flexibility crucial for speed and accuracy optimization [16:54] AB testing different models shows immediate performance differences [17:59] Suncorp and AstraZeneca demonstrate diverse AI applications [19:37] Asia Pacific shows aggressive AI adoption strategies [20:59] CFO approval requires proven agent effectiveness evaluation [22:00] 85% of AI cases evaluated only by building engineer [23:20] Model agnostic approach beats single-vendor AI strategies [24:12] Industry terminology evolves rapidly from RAG to agents [25:39] Customer creativity with governance capabilities inspires product development Profile: Craig Wiley, Senior Director of Product Management at Databricks and Mosaic AI LinkedIn: https://www.linkedin.com/in/craigwiley/ Podcast Information: Bernard Leong hosts and produces the show. The proper credits for the intro and end music are "Energetic Sports Drive." G. Thomas Craig mixed and edited the episode in both video and audio format. Here are the links to watch or listen to our podcast. Analyse Asia Main Site: https://analyse.asia Analyse Asia Spotify: https://open.spotify.com/show/1kkRwzRZa4JCICr2vm0vGl Analyse Asia Apple Podcasts: https://podcasts.apple.com/us/podcast/analyse-asia-with-bernard-leong/id914868245 Analyse Asia LinkedIn: https://www.linkedin.com/company/analyse-asia/ Analyse Asia X (formerly known as Twitter): https://twitter.com/analyseasia Sign Up for Our This Week in Asia Newsletter: https://www.analyse.asia/#/portal/signup Subscribe Newsletter on LinkedIn https://www.linkedin.com/build-relation/newsletter-follow?entityUrn=7149559878934540288

In a special Future of Everything podcast episode recorded live before a studio audience in New York, host Russ Altman talks to three authorities on the innovation economy. His guests – Fei-Fei Li, professor of computer science and co-director of the Stanford Institute for Human-Centered AI (HAI); Susan Athey, professor and authority on the economics of technology; and Neale Mahoney, Trione Director of the Stanford Institute for Economic Policy Research – bring their distinct-but-complementary perspectives to a discussion on how artificial intelligence is reshaping our economy.Athey emphasizes that both AI broadly and AI-based coding tools specifically are general-purpose technologies, like electricity or the personal computer, whose impact may be felt quickly in certain sectors but much more slowly in aggregate. She tells how solving one bottleneck to implementation often reveals others – whether in digitization, adoption costs, or the need to restructure work and organizations. Mahoney draws on economic history to say we are in a “veil of ignorance” moment with regard to societal impacts. We cannot know whose jobs will be disrupted, he says, but we can invest in safety nets now to ease the transition. Li cautions against assuming AI will replace people. Instead, she speaks of AI as a “horizontal technology” that could supercharge human creativity – but only if it is properly rooted in science, not science fiction.Collectively, the panel calls on policymakers, educators, researchers, and entrepreneurs to steer AI toward what they call “human-centered goals” – protecting workers, growing opportunities, and supercharging education and medicine – to deliver broad and shared prosperity. It's the future of the innovation economy on this episode of Stanford Engineering's The Future of Everything podcast.Have a question for Russ? Send it our way in writing or via voice memo, and it might be featured on an upcoming episode. Please introduce yourself, let us know where you're listening from, and share your question. You can send questions to thefutureofeverything@stanford.edu.Episode Reference Links:Stanford Profile: Fei-Fei LiStanford Profile: Susan AtheyStanford Profile: Neale MahoneyConnect With Us:Episode Transcripts >>> The Future of Everything WebsiteConnect with Russ >>> Threads / Bluesky / MastodonConnect with School of Engineering >>> Twitter/X / Instagram / LinkedIn / FacebookChapters:(00:00:00) IntroductionRuss Altman introduces live guests Fei-Fei Li, Susan Athey, and Neale Mahoney, professors from Stanford University.(00:02:37) Lessons from Past TechnologyComparing AI with past technologies and the bottlenecks to their adoption.(00:06:29) Jobs & Safety NetsThe uncertainty of AI's labor impact and investing in social protections.(00:08:29) Augmentation vs. ReplacementUsing AI as a tool to enhance, not replace, human work and creativity.(00:11:41) Human-Centered AI & PolicyShaping AI through universities, government, and global collaboration.(00:15:58) Education RevolutionThe potential for AI to revolutionize education by focusing on human capital.(00:18:58) Balancing Regulation & InnovationBalancing pragmatic, evidence-based AI policy with entrepreneurship.(00:22:22) Competition & Market PowerThe risks of monopolies and the role of open models in fair pricing.(00:25:22) America's Economic FunkHow social media and innovation are shaping America's declining optimism.(00:27:05) Future in a MinuteThe panel shares what gives them hope and what they'd study today.(00:30:49) Conclusion Connect With Us:Episode Transcripts >>> The Future of Everything WebsiteConnect with Russ >>> Threads / Bluesky / MastodonConnect with School of Engineering >>>Twitter/X / Instagram / LinkedIn / Facebook Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

“Shifting from project thinking to product thinking is about creating long-term value, not just checking off deliverables.” In this episode, we are joined by Thomas Hartmann, co-founder of the Product Masterclass and co-author of From Project to Product, to explore a problem plaguing most organizations: the transition from a project-centric model to a truly product-driven culture. Thomas shares his personal journey into product management and the inspiration behind creating the Product Masterclass, designed to help leaders move beyond the limitations of project-based thinking. He outlines the seven core challenges companies face when making this shift and explains why success requires more than just the product team. It demands alignment across sales, marketing, engineering, and leadership. Teamwork is required to make the dream work. Listeners will hear why prioritizing short-term client deliverables often stifles innovation, how product organizations can foster scalable growth, and what cultural shifts are required to create alignment around outcomes. From setting clear visions for scalability to building robust prioritization frameworks, Thomas offers practical steps leaders can take to drive transformation. For show notes and more resources, visit: pragmaticinstitute.com/resources/podcasts Pragmatic Institute is the global leader in Product, Data, and Design training and certification programs for working professionals. Learn more at pragmaticinstitute.com.

In this episode we spoke with Mike Rohrmoser, VP of Product Management for OEM Solutions at Digi, a global provider of mission-critical IoT connectivity products and services. We explored how manufacturers are addressing labor shortages with IoT and automation, the trade-offs between retrofitting existing factories and building new ones, the evolving sensor and connectivity landscape, and practical steps to scale IoT pilots into production. Key insights: • Retrofitting existing plants is often the smarter move. Brownfield upgrades can cost 40–60% less than new builds and achieve faster returns when paired with business-focused use cases and retrofit connectivity. • Sensors and networks must be judged as a whole system. Industrial buyers weigh accuracy, deployment simplicity, and lifetime cost over unit price, with wireless IO-Link and LTE Cat 1 gaining traction and 5G RedCap on the horizon. • Edge AI is real, but focused. Today it is most effective in computer vision for quality inspection and counting, while new designs anticipate broader workloads as adoption matures. • GenAI augments people, not machines. Its strengths are in analysis, documentation, and device management, while safety-critical real-time control remains firmly in the domain of conventional automation. • Scaling pilots requires proving value early. Many initiatives stall when they start with technology instead of problems; success depends on production-ready components, operator trust, and leadership alignment. IoT ONE database: https://www.iotone.com/case-studies The Industrial IoT Spotlight podcast is produced by Asia Growth Partners (AGP): https://asiagrowthpartners.com/

Speakers:  Mike Klassen, Director of Business Development, ZincFive Sugam Patel, VP of Product Management, DG Matrix In this DCF Trends-Nomads at the Summit Podcast episode, experts from ZincFive and DG Matrix unpack how medium voltage (MV) UPS architectures are redefining the way data centers power up for AI. As AI densification pushes traditional infrastructure to its limits, MV UPS solutions offer a path forward—boosting efficiency, reducing heat and losses, and reclaiming floor space for compute. The conversation delves into how higher voltage translates into smarter, more scalable designs that not only meet the demands of today's high-performance AI workloads but also future-proof facilities for what's coming next. From design frameworks to deployment strategies, Klassen and Patel provide a grounded, technical look at the UPS shift already underway.

In this episode of Product Talk, host Peter Pflaster sits down with JoLynn Dixon, Senior Director of Product Management at Automox, to discuss the future of autonomous endpoint management (AEM) and how Automox is shaping the path forward.JoLynn shares her background in product leadership, the vision behind AEM, and why prioritizing customer feedback is central to Automox's roadmap. You'll also hear how Automox is:Delivering automation that reduces mean time to patch to just 17 daysImproving the end-user experience with recent agent and tray updatesExpanding OS coverage with day zero macOS supportBuilding an ecosystem that integrates seamlessly with IT's existing toolsIf you're an IT professional looking to cut risk, save time, and modernize endpoint management, this episode gives you a front-row seat to how Automox is leading the charge.

How is Optimizely reshaping experimentation with AI? Cory Liebgott, VP of Product at Optimizely, joins LaunchPod to share how her team is using AI into both customer-facing solutions and their own product workflows. Cory shares how her team: Uses Copilot and Claude for everything from PRD writing and meeting recaps to translating technical language into accessible insights Developed OptiGPT, an internal AI assistant that surfaces customer data, product knowledge, and HR policies in seconds Built a customer-facing AI query tool that also became a surprise hit internally for measuring customer health and engagement Encourages a culture of experimentation where PMs demo and share AI tools, turning emergent use cases into productivity boosts across teams Links LinkedIn: https://www.linkedin.com/in/cliebgott/ Optimizely: https://www.optimizely.com/ Chapters 00:38 Exploring AI tools as a team 01:43 Real-world AI productivity wins 03:16 Inside OptiGPT: Optimizely's AI assistant 04:08 Using AI for research and prototyping 05:10 When AI surprises: Emergent capabilities 06:22 Lessons learned: Sharing and experimenting Follow LaunchPod on YouTube We have a new YouTube page (https://www.youtube.com/@LaunchPodPodcast)! Watch full episodes of our interviews with PM leaders and subscribe! What does LogRocket do? LogRocket's Galileo AI watches user sessions for you and surfaces the technical and usability issues holding back your web and mobile apps. Understand where your users are struggling by trying it for free at LogRocket.com (https://logrocket.com/signup/?pdr). Special Guest: Cory Liebgott.

Comment rendre l'impact produit visible et crédible dans une grande organisation ? C'est la question qu'Ana Vasile, Head of Product Proximité, et Marion Ardi, PM chez France TV, abordent dans cette conversation :

When I sit down with product leaders who've spent decades shaping how Silicon Valley builds products, I'm always struck by how their career arcs echo the very lessons they now teach. Michael Margolis is no exception.Michael started his career as an anthropologist, stumbled into educational software in the late 90s, helped scale Gmail during its formative years, and eventually became one of the first design researchers at Google Ventures (GV). For fifteen years, he sat at the intersection of startups and product discovery, helping founders learn faster, save years of wasted effort, and—sometimes—kill their darlings before they drained all the fuel.In our conversation, Michael didn't just share war stories. He laid out a concrete, repeatable framework for product teams—whether you're a PM at a FAANG company or a fresh hire at a Series A startup—on how to cut through noise, get to the truth, and accelerate learning cycles.This post is my attempt to capture those lessons. If you're an early to mid-career PM in Silicon Valley trying to sharpen your craft, this is for you.From Anthropology to Gmail: The Value of Unorthodox BeginningsMichael's path to Google wasn't a linear “go to Stanford CS, join a startup, IPO” narrative. Instead, he started in anthropology and educational software, producing floppy-disk learning titles at The Learning Company and Electronic Arts. That detour turned out to be foundational.“Studying anthropology was my introduction to usability and ethnography,” Michael told me. “It gave me a lens to look at people's behaviors not just as data points but as cultural patterns.”For PMs, the lesson is clear: don't discount the odd chapters of your own career. That sales job, that nonprofit internship, or that side hustle in teaching can become your secret weapon later. Michael carried those anthropology muscles into Gmail, where understanding human behavior at scale was just as critical as writing code.Actionable Advice for PMs:* Audit your own “non-linear” career experiences. What hidden skills—interviewing, pattern-recognition, narrative-building—could you bring into product work?* When hiring, don't filter only for straight-line resumes. The best PMs often bring unexpected perspectives.The Google Years: Scaling Research at Hyper-speedMichael joined Gmail in 2006, when it was still young but maturing fast. He quickly noticed how different the rhythm was compared to the slow, expensive ethnographic studies he had done for consulting clients like Walmart.com.“At Walmart,” he explained, “I had to compress these big, long expensive projects into something faster. Gmail demanded that same speed, but at enormous scale.”At Google, the prime “clients” for his research were often designers. The questions he answered were things like: How do we attract Outlook users? How do we make the interface intuitive enough for mass adoption?This difference matters for PMs: in big companies, research questions often start downstream—how to refine, polish, or optimize. In startups, questions live upstream: What should we build at all? Knowing where you sit in that spectrum changes the kind of research (and product bets) you should prioritize.Jumping to Google Ventures: Bringing UXR Into VCIn 2010, Michael made a bold move: leaving the mothership to become one of the very first design researchers embedded inside a venture capital firm. GV was trying to differentiate itself by not just writing checks but also offering operational help—design, hiring, PR.“I got lucky,” he recalled. “GV had already hired Braden Kowitz as their design partner, and Braden said, ‘I need a researcher.' That was my break.”Working with founders was a shock. They didn't act like Google PMs. “It was like they were playing by a different set of rules. They'd say, ‘Here's where we're going. You can help me, or get out of my way.'”That forced Michael to reinvent how he showed value. Instead of writing reports that might sit unread, he had to deliver insights in real-time, in ways founders couldn't ignore.The Watch Party Method: Stop Writing ReportsHere's where the gold nuggets come in. Michael realized traditional reports weren't cutting it. Instead, he invented what he calls “watch parties.”“I don't do the research study unless the whole team watches,” he said. “I compress it into a day—five interviews with bullseye customers, the whole team in a virtual backroom. By the end, they've seen it all, they're debriefing themselves, and alignment happens automatically. I haven't written a report in years.”Think about that. No 30-page decks. No long hand-offs. Just visceral, shared observation.Actionable Advice for PMs:* Next time you run a user test, insist that at least your core team attends live. Skip the sanitized recap slides.* At the end of a session, have the team summarize their top three takeaways. When they say it, it sticks.Bullseye Customers: Getting Uncomfortably SpecificOne of Michael's most powerful contributions is the bullseye customer exercise.“A bullseye customer,” he explained, “is the very specific subset of your target market who is most likely to adopt your product first. The key is to define not just inclusion criteria but also exclusion criteria.”Founders (and PMs) often resist narrowing. They want to believe their TAM is huge. But Michael's method forces rigor. He described grilling teams until they admit things like: Actually, if this person doesn't work from home, they probably won't care. Or if they've never paid for a premium tool, they won't convert.Example: Imagine you're building a new coffee subscription. Your bullseye might be: Remote tech workers in San Francisco, ages 25-35, who already spend $50+ per month on specialty coffee, and who like experimenting with new roasters. If your product doesn't delight them, it won't magically resonate with “all coffee drinkers.”Actionable Advice for PMs:* Write down both inclusion and exclusion criteria for your bullseye.* Add triggers: life events that make adoption more likely (e.g., new job, new diagnosis, move to a new city).* Recruit five people who fit it exactly. If they're lukewarm, rethink your product.Why Five Interviews Is EnoughMichael swears by the number five.“After three interviews, you're not sure if it's a pattern,” he said. “By five, you hit data saturation. Everyone sees the signal. Any more and the team is begging you to stop so they can make changes.”For PMs under pressure, this is liberating. You don't need 100 customer calls. You need five of the right customers, observed by the right team members, in a compressed timeframe.Multiple Prototypes: Don't Ask Customers to ImagineAnother Margolis rule: never show just one prototype.“If you show one, the team gets too attached, and the customer can only react. With three, I can say: compare and contrast. What do you love? What do you hate? I collect the Lego pieces and assemble the next iteration.”Sometimes those prototypes aren't even original mockups—they're competitor landing pages. As Michael joked: “Have you tested your competitor's prototypes? No? Then you've left something out.”Actionable Advice for PMs:* When exploring value props, mock up three different landing pages. Don't ask “Which do you prefer?” Instead ask: “Which elements matter most, and why?”* Treat mild praise as a “no.” Only visceral excitement counts as signal.Founders, Stubbornness, and the Henry Ford TrapI pressed Michael on what happens when founders dismiss customer feedback by invoking Henry Ford's famous line about “faster horses.”He smiled. “The beauty of bullseye customers is it forces accountability. If you told me these people are your dream users, and they shrug, then you can't hand-wave it away. Either change your customer definition or your product.”This is a crucial lesson for PMs who work with visionary leaders. Conviction is necessary, but unchecked conviction can sink a product. Anchoring on bullseye customers creates a shared contract that keeps both egos and hypotheses grounded.Bright Spots > Exit InterviewsWhen teams ask him to interview churned customers, Michael often refuses.“There are a bazillion reasons people don't use something,” he said. “It's inefficient. Instead, I go find the bright spots—the power users who love it. I want to know why they're on fire, and then go find more people like them.”This “bright spot” focus helps PMs avoid premature pivots. Instead of chasing every no, double down on the yeses until you understand the common thread.Case Study: Refrigerated Medications and ZiplineTo illustrate, Michael shared a project with Zipline, the drone-delivery company. They wanted to deliver specialty medications. The core question: was speed or timing more important?Through interviews, the bright spot insight emerged: refrigeration was the killer constraint. Patients didn't care about “fastest possible” delivery in the abstract. They cared about not leaving refrigerated drugs on their porch.That nuance completely changed the product and infrastructure design.For PMs, the takeaway is that sometimes the decisive factor isn't the flashy benefit you advertise (“we're the fastest!”) but a practical detail you only uncover through careful listening.AI and the Future of ResearchWe couldn't avoid the AI question. Has it changed his process?“I worry about how AI is creating distance between teams and customers,” Michael admitted. “If my bot talks to your bot and spits out a report, you miss the nuance. The power of research is in the stories, the details, the visceral reactions.”That said, he does use AI for quick prototype copywriting and summaries. But he insists on live team observation for the real work.For PMs, the advice is to use AI as an accelerant, not a replacement. Let it write the rough draft of your landing page copy, but don't outsource customer empathy to a transcript.What PMs Should Do Differently TomorrowLet's distill Michael's 15 years of wisdom into actionable steps you can implement this week:* Define your bullseye. Write down exact inclusion, exclusion, and trigger criteria.* Recruit five. Stop at five, but make them exact matches.* Run a watch party. Get your designer, engineer, and PM peers in the virtual backroom. No observers, no insights.* Prototype in threes. Landing pages are cheap. Competitor screenshots are free.* Look for visceral reactions. Anything less than “Wait, can I get this now?” is a polite no.* Study the bright spots. Find your power users and figure out what makes them glow.* Compress cycles. The whole exercise—recruit, test, learn—should take days, not months.Quotes Worth RememberingTo make these lessons stick, here are five quotes from Michael that every PM should tape to their desk:* “I don't do the research unless the whole team watches.”* “A bullseye customer is the very specific subset of your target market most likely to adopt first.”* “After five interviews, you hit data saturation. Everyone sees the pattern.”* “If you show one prototype, the team gets too attached. With three, you collect the Lego pieces.”* “Mild encouragement is a polite no. Only visceral excitement counts as yes.”My Takeaways as a Coach and PMTalking to Michael reinforced something I've seen in my own career: product failure often comes not from bad execution, but from weak learning cycles. Teams don't test the right people, don't synthesize together, and don't act quickly on what they learn.Michael's methods aren't magic—they're discipline. They compress time, sharpen focus, and force alignment. Whether you're building the next Gmail or the next startup idea in a Palo Alto garage, these principles apply.If you're an early to mid-career PM, start by practicing on a small scale. Don't wait for your manager to bless a massive UXR budget. Run a five-person watch party with your next prototype. You'll be surprised at how quickly the fog lifts.ClosingIf this resonated and you're looking for deeper guidance, I also work 1:1 with PMs and executives on career, product, and leadership challenges. You can learn more at tomleungcoaching.com.And if you haven't yet, I'd love your input on my Future of Product Management survey. It only takes about 5 minutes, and by filling it out you'll get early access to the results plus an invitation to a live readout with a panel of top product leaders. The survey explores how AI, team structures, and skill sets are reshaping the PM role for 2026 and beyond. Let's ship greatness. This is a public episode. If you would like to discuss this with other subscribers or get access to bonus episodes, visit firesidepm.substack.com

Join us for a compelling conversation on leading through change with Karen Stroup, Chief Digital Officer at WEX. In this episode of The Data Chief, Karen shares her insights on navigating the complexities of AI adoption. She discusses why focusing on the customer problem is more important than simply applying new technology, how to build trust by accounting for the "human side" of data, and why her team uses a "two-way door decision" to combat the rapid pace of tech change. Discover her "hot take" on the future of analytics, where dashboards become a "backdrop" and an interactive, predictive experience takes center stage.Key Moments:Navigating Ambiguity with People (06:02): Karen argues that leaders' primary role is to build confidence and help people navigate ambiguity. She explains that people fear the unknown more than change and suggests involving employees in the journey to help alleviate that fear.Trust and the Human Side of Data (14:30): She highlights that giving a correct answer is not the same as building confidence that it's the right answer. Karen discusses the importance of accounting for the "human side" of how people feel about the information they receive.Prioritizing AI use cases (22:48). Karen describes WEX's approach, which starts with a top-down cultural shift from the CEO, and then uses filters like value, feasibility, and desirability to prioritize projects.The "Two-Way Door Decision" for Technology (28:13): To combat the disconnect between rapid technology evolution and slow cultural change, Karen discusses using a "two-way door decision". This approach involves architecting solutions to be vendor-agnostic, allowing the company to pivot if a technology proves to be unsuccessful."Hot Take" on the Future of Analytics (35:34): Karen's "hot take" is that the user experience will fundamentally change. She predicts that dashboards will become a "backdrop," while an interactive, predictive experience will move to the foreground.Key Quotes:"Very few customers, whether it be a business or a consumer, say, I want an AI solution. What they're really saying is, I want the problem to be simpler." - Karen Stroup"Answering the question correctly is not the same as building confidence that it's the right answer to the question." - Karen Stroup"Being able to understand data, but in a way that resonates with them, is really important. I do think ThoughtSpot does this well in the sense that you may get one answer, and you say, 'Hey, can you explain that for me?' or 'Where does the data come from?' But that ability to 'peel the onion' is really important." - Karen StroupMentions:WEX's Health and Benefits platformAgentic AI in Financial Services: The future of autonomous finance solutionsTrillion Dollar Coach: The Leadership Playbook of Silicon Valley's Bill CampbellHow Much Data Does a Ring Security Camera Use?Guest Bio: Karen joined WEX in 2022 as Chief Digital Officer, a newly created role. She brings more than 15 years of experience leading product management, digital, and innovation organizations focused on software as a service offerings, primarily in financial services.As Chief Digital Officer, Karen is responsible for expanding digital commerce opportunities by harnessing best-in-class product development, design, and digital transformation capabilities from across the enterprise. In addition to creating a unified strategic vision, she leads a team that executes against digital strategy initiatives and strives to create exceptional customer experiences by delivering new digital tools, platforms, and technologies.Prior to WEX, Karen served as the Chief Digital Officer at Thomson Reuters. Prior to her role at Thomson Reuters, Karen served as SVP, Product and Innovation at Capital One Financial Services and VP, Product Management at Intuit. Hear more from Cindi Howson here. Sponsored by ThoughtSpot.

A company spends $10M over two years on a critical software product, but after firing one vendor and hiring a second, they still have nothing to show for it. This case study details the 5-step action plan used to rescue a failing project, restore internal credibility, and get product delivery back on track. From revamping the product roadmap and redefining vendor contracts to empowering a true product owner, this episode is a masterclass in turning around a high-stakes technology transformation. Discover how to shift from analysis paralysis to momentum and learn why strategy is meaningless without an execution engine you can trust. We also uncover how the team found a surprise opportunity to build new AI products by leveraging decades of institutional data they already had. In this episode: How to create a living technology and product roadmap that aligns both business stakeholders and frontline users. The critical shift from project management (Gantt charts and deliverables) to product management (business outcomes and priorities). Actionable strategies for vendor governance, including tying payment milestones to the delivery of working software. Using incremental delivery and weekly demos to catch misunderstandings early and de-risk the development process. How to move from "analysis paralysis" to action by designing small experiments to test new AI product ideas. Unlock the full potential of your product team with Integral's player coaches, experts in lean, human-centered design. Visit integral.io/convergence for a free Product Success Lab workshop to gain clarity and confidence in tackling any product design or engineering challenge. Subscribe to the Convergence podcast wherever you get podcasts including video episodes to get updated on the other crucial conversations that we'll post on YouTube at youtube.com/@convergencefmpodcast Learn something? Give us a 5 star review and like the podcast on YouTube. It's how we grow.   Follow the Pod Linkedin: https://www.linkedin.com/company/convergence-podcast/ X: https://twitter.com/podconvergence Instagram: @podconvergence  

In this episode of the Ad Tech Godpod, host AdTechGod speaks with Hillary Slattery, Senior Director of Product Management at IAB Tech Lab. They discuss Hillary's career journey, the differences between IAB and IAB Tech Lab, the rise of programmatic advertising in CTV, challenges in transparency and data sharing, innovations in live event advertising, the role of curation, and the impact of AI on the advertising industry. Hillary emphasizes the importance of transparency, the need for standards in advertising, and her motivation as a female leader in a technical role. Takeaways Hillary Slattery has a diverse background in ad tech. IAB and IAB Tech Lab serve different but complementary roles. Programmatic advertising in CTV is a growing trend. Transparency in data sharing is a significant challenge. Curation is becoming increasingly important in advertising. AI is reshaping the advertising landscape. Hillary values her role as a female technical lead. The conversations in ad tech are always evolving and interesting. There are legitimate reasons for the lack of transparency from sellers. Hillary is motivated by the impact of her work and the people she collaborates with. Chapters 00:00 Introduction to Hillary Slattery and Her Journey 02:36 Understanding IAB and IAB Tech Lab 05:21 Programmatic Advertising and CTV Trends 07:57 Challenges in Transparency and Data Sharing 10:58 Innovations in Live Event Advertising 13:41 The Role of Curation in Advertising 16:38 AI's Impact on the Advertising Industry 19:18 Motivation and Leadership in Ad Tech TikTok's Fate, Rembrandt's Big Bet, and CTV's Transparency Leap This week's episode of The Refresh covers three major developments shaping advertising and adtech: the long-awaited resolution of the TikTok U.S. drama, a notable merger between Rembrandt and Spaceback, and Index Exchange's groundbreaking integration with Grace Note. Host Kate unpacks the details, implications, and what these shifts mean for advertisers, creators, and platforms heading into 2025. 5 Key Highlights: TikTok's U.S. operations are set to spin into a new company with majority American ownership (80%), including Oracle, Andreessen Horowitz, and Silver Lake, while ByteDance retains 20%. A new TikTok U.S. app is reportedly in testing, requiring users to migrate accounts, raising concerns about logins, content transfers, and algorithm performance. Rembrandt acquired Spaceback, adding scale with 3,000+ advertisers and expanding its AI-driven creative offerings to blend product placements with organic content. The merger reflects broader industry trends: AI-driven “intelligent creative,” creative functions shifting into buying platforms, and the blending of context with content. Index Exchange and Grace Note launched the first integration enabling show-level targeting and reporting in CTV, addressing long-standing transparency challenges for advertisers. Learn more about your ad choices. Visit megaphone.fm/adchoices

Picture this: A flat grey truck with no top of the line speaker system. No big navigation screen or fancy leather interior. Not even automatic windows.Just a plain, stripped-down, bare bones truck. And people are lining up to buy it.The company is called Slate, and it's an innovative, low cost customizable vehicle - kind of a LEGO kit on wheels - that starts at about $25,000. Join me today as I explore why selling something unfinished can be more powerful than selling something perfect - and how Slate Trucks uses psychology to make customers fall in love with a blank canvas (and you can, too). ⭐⭐⭐⭐⭐Please take 12 seconds to rate and review the podcast because it helps us find new listeners ⭐⭐⭐⭐⭐COACHING✅ To learn more about working one-on-one with Jen and book your free Connection Call, visit https://www.choicehacking.com/coaching-inviteThis month I have 3 spots available - first come, first serve.FREE RESOURCES✅ Get a free digital copy of my bestselling book for a limited time, Choice Hacking: How to use psychology and behavioral science to create an experience that sings. Get it here: https://www.choicehacking.com/free-book/ ✅ Get FREE weekly marketing psychology insights when you join my newsletter, Choice Hacking Ideas: Join the 10k+ people getting daily insights on how to 2x their marketing effectiveness (so sales and profit 2x, too) using buyer psychology. Join here: https://www.choicehacking.com/read/✅ Connect with host Jennifer Clinehens on LinkedIn, Instagram, YouTube, or TikTok @ChoiceHackingWORK WITH JEN CLINEHENS & CHOICE HACKING✅ Training & Workshops: Get your team up-skilled marketing psychology and behavioral science with a workshop or training session. Choice Hacking has worked with brands like Microsoft, T-Mobile, and McDonalds to help their teams apply behavioral science and marketing psychology.Learn more here, and get in touch using the contact form at the bottom of the page: https://www.choicehacking.com/training/✅ Join the Choice Hacking Pro community: Get a Chief Marketing Copilot (powered by psychology) for your business when you join the Pro community. Get live weekly Workshops, Group Coaching and Office Hours.Learn more here: https://choicehacking.academy/pro/✅ Buy my book in Kindle, paperback, or audiobook form: "Choice Hacking: How to use psychology and behavioral science to create an experience that sings": https://choicehacking.com/PodBook/ ★ Support this podcast ★

Today, we're joined by Michael Krafft, CPO at FoundersCard, a membership community for entrepreneurs and executives offering exclusive perks and VIP treatment. Previously, Michael worked in investment banking, led product teams at American Express, and played a key role in turning around Alight, an HR-tech firm, ahead of its IPO. In this episode, we discuss: How Michael uses AI to be a 1-person Product team at a profitable startup with more than 250K members His AI-driven discovery engine that automates interviews, segments users, and turns feedback into roadmap-shaping insights Why working as both a leader and IC lets him move from idea to prototype to product in record time with tools like V-Zero and Lovable The simple test that boosted paid conversions by 50%—and how he runs growth experiments far beyond his team's size Links LinkedIn: https://www.linkedin.com/in/michael-krafft/ FoundersCard: https://founderscard.com/ Chapters 00:00 Intro 03:04 How AI Drove Down CAC and Fueled Growth 06:06 Using AI to Analyze Customer Interviews 09:10 Turning Feedback Into Roadmap Insights 12:13 AI-Powered Discovery Engine for PMs 15:17 One-Person Product Team With AI Tools 18:20 Scaling Insights Beyond Human Bandwidth 21:23 Automating PRDs With AI 24:25 From Idea to Prototype in an Afternoon 27:28 Running Growth Experiments With AI 30:31 Conversions, Retention, and AI Testing 33:33 Customer Insights That Shape the Roadmap 36:36 Paid Conversion Boosts With AI 39:37 Final Takeaways for Product Leaders Follow LaunchPod on YouTube We have a new YouTube page (https://www.youtube.com/@LaunchPodPodcast)! Watch full episodes of our interviews with PM leaders and subscribe! What does LogRocket do? LogRocket's Galileo AI watches user sessions for you and surfaces the technical and usability issues holding back your web and mobile apps. Understand where your users are struggling by trying it for free at LogRocket.com (https://logrocket.com/signup/?pdr). Special Guest: Michael Krafft.

Le rôle de PMM, c'est souvent jongler entre attentes implicites et objectifs confus.

Shawn Dsouza: Beyond Product Knowledge—The Hidden Skills Every Product Owner Needs Read the full Show Notes and search through the world's largest audio library on Agile and Scrum directly on the Scrum Master Toolbox Podcast website: http://bit.ly/SMTP_ShowNotes. Shawn explores both ends of the Product Owner spectrum through real experiences. On one side, he addresses the "Forced" or "Accidental" Product Owner—a common but problematic pattern where organizations appoint someone based solely on product knowledge. He shares the story of a QA professional thrust into the PO role who knew the product inside out but lacked other essential PO skills, frustrating the team with inadequate responses. Through coaching questions inspired by "The Advice Trap," Shawn helped this reluctant PO reflect on responsibilities and develop confidence beyond technical knowledge. The Great Product Owner: The Story-Crafting Superstar Shawn celebrates a Product Owner who elevated user story writing to an art form—"the Picasso of writing user stories." This exceptional PO co-crafted clear, well-structured stories with the team and used AI to refine stories and acceptance criteria. Her meticulous preparation included intensive refinement sessions before vacations and expert story slicing techniques. By handling requirements clarity superbly, she freed the team to focus entirely on problem-solving rather than deciphering what needed to be built. The Bad Product Owner: The Forced/Accidental Product Owner Organizations frequently make the mistake of appointing the person with the highest product knowledge as Product Owner, assuming technical expertise translates to PO effectiveness. However, the Product Owner role requires diverse skills beyond product knowledge—stakeholder management, prioritization, communication, and strategic thinking. When a QA professional was thrust into this role, their deep product understanding couldn't compensate for underdeveloped PO competencies, leading to team frustration and project complications. In this segment, we refer to the Coach Your PO e-course published by your Scrum Master Toolbox Podcast! Self-reflection Question: What skills beyond domain expertise should you develop or look for when transitioning into or selecting someone for the Product Owner role? [The Scrum Master Toolbox Podcast Recommends]

What does it take for marketers to truly connect with their audience and harness AI for impactful strategies?This special Hard Corps Marketing Show takeover episode features an episode from the Connect To Market podcast, hosted by Casey Cheshire. In this conversation, Casey sits down with Megan Ward, SVP of Marketing and Product Management at 360Factors. Megan offers a thoughtful and tactical breakdown of how marketers can deepen their understanding of target audiences by engaging directly and using AI-driven insights.She shares why marketing leaders must spend time with “real people” to uncover authentic needs, the importance of attending industry events for firsthand market observation, and how AI analysis of call recordings can reveal key customer questions and concerns. Megan also reflects on her career journey and the lessons that helped her overcome limiting beliefs.Throughout the conversation, Megan highlights actionable insights on connecting with customers, harnessing AI for smarter marketing, and documenting knowledge to empower teams.In this episode, we cover:The importance of engaging directly with your target marketUsing AI to analyze customer interactions and extract insightsThe future of AI in marketing: digital agents and personalized toolsThe critical role of documenting and sharing knowledge within teams

Unlock the future of product management with AI. In this episode of LaunchPod, we dive into the top 4 AI workflows every product manager needs, from automating user research to building smarter prototypes and running faster experiments. Hear real stories from product leaders who are already using AI to: *Turn hours of customer interviews into actionable insights *Prototype and test new features in record time *Automate PRDs and documentation without losing quality *Drive data-backed decisions that accelerate growth Chapters 00:00 Why AI is changing product management 00:30 Avoiding missteps with AI-powered customer insights 02:00 Prototyping and testing faster with AI tools 04:00 Automating PRDs and product documentation 06:30 Using AI for smarter data analysis and decision making 09:00 Balancing AI with product intuition and strategy 11:00 The future of AI in product workflows Follow LaunchPod on YouTube We have a new YouTube page (https://www.youtube.com/@LaunchPodPodcast)! Watch full episodes of our interviews with PM leaders and subscribe! What does LogRocket do? LogRocket's Galileo AI watches user sessions for you and surfaces the technical and usability issues holding back your web and mobile apps. Understand where your users are struggling by trying it for free at LogRocket.com (https://logrocket.com/signup/?pdr). Special Guests: Derek Pharr, Neha Monga, Roman Gun, and Sierra Hahn-Ventrell.

On the podcast we talk with Ora about LinkedIn's value-driven growth philosophy, how they personalize experiences and plan offerings based on user intent, and the complexity of running over a thousand experiments a year.Top Takeaways:

In this episode, Carlos Gonzalez de Villaumbrosia interviews Anneka Gupta, Chief Product Officer at Rubrik, a leading cybersecurity company helping over 5,000 customers, including half of the Fortune 500, protect and manage their data against cyber threats.Under Anneka's leadership since 2021, Rubrik has undergone one of tech's most impressive product transformations, evolving from an IT backup solution into a comprehensive cybersecurity platform. This transformation has driven remarkable growth, with subscription ARR crossing $1.09 billion and the company successfully going public in 2024.In this episode, we explore Rubrik's journey through three major transformations: shifting from perpetual licenses to a SaaS-first model, expanding from a single product to a multi-product platform (with two new product lines approaching $100M in ARR), and repositioning as a cybersecurity-first company. We'll dive deep into the challenges and strategies behind managing such significant organizational change at scale.What you'll learn:How to successfully transition a business model from perpetual licenses to subscriptionStrategies for expanding from single-product to multi-product portfolioMethods for structuring teams around strategic pillars rather than just product linesApproaches to maintaining growth while managing significant organizational changeTechniques for leveraging existing customer relationships to validate new productsFrameworks for creating clear career progression during transformationKey Takeaways

Join Product Manager Brian and Enterprise Consultant Om as they peel back the sticky veneer from the "Build First" trend sweeping through product development. Listen or watch as we debate the message being projected by AI tool vendors (who all have their own flavor of tool to sell you) and ask - "are we encouraging teams to skip crucial validation" in favor of rapid prototyping? Stick around for our discussion, which includes:- How "Build First" creates organizational dependencies on AI vendors- The death of institutional knowledge and strategic thinking- Effects of skipping user research and stakeholder conversations- The token economy trap and hidden costs of AI-driven development- Practical ways to leverage AI tools without falling into these trapsWhether you're a product manager, developer, or leader navigating the AI hype cycle, this episode offers balanced insights on how to use AI tools responsibly while still building products people actually want.#AIProductDevelopment #BuildFirst #ProductManagementproduct management, agile development, AI tools, build first, user research, token economy, product strategy, tech leadership, AI in product development, product validationLINKSYouTube https://www.youtube.com/@arguingagileSpotify: https://open.spotify.com/show/362QvYORmtZRKAeTAE57v3Apple: https://podcasts.apple.com/us/podcast/agile-podcast/id1568557596Website: http://arguingagile.comINTRO MUSICToronto Is My BeatBy Whitewolf (Source: https://ccmixter.org/files/whitewolf225/60181)CC BY 4.0 DEED (https://creativecommons.org/licenses/by/4.0/deed.en)

As we continue our tradition of highlighting innovative startups building for product professionals, we're excited to introduce Matan Kleyman, CEO and Co-Founder of Hunch, on this week's episode.On the show, Matan shares his journey from technical engineering and data science roles to leading product teams and hosting a podcast focused on AI and product management. Now with Hunch, he's set out to solve a problem many product managers know well: after all the investment in collecting and aggregating data, only a handful of senior data engineers truly know how to use it.With that problem in mind, Hunch is on a mission to democratize data access, giving product people rapid, autonomous, and approachable ways to get insights, act on their hunches, and unlock value from their company's data.Join Matt and Moshe as they explore with Matan:The founding story of Hunch and why product managers are at the center of their visionHow Hunch enables any team member to query data using a ChatGPT-like interface and ready-made templatesTurning raw insights into dashboards and customizable data apps with no technical background requiredHunch's two big differentiators: optimizing for speed and for true autonomyReal-world use cases, from engineers and PMs, to data-driven decision-making in actionHow Hunch supports both quantitative (what happened in the product) and qualitative (what should happen next) analysis, including transcript integrationsMatan's philosophy on building trust: prioritizing transparency over rigid accuracy and giving users control over contextBest practices for onboarding, context management, and building knowledge sets in HunchLessons from building their public roadmap and belief in open, user-driven product developmentThe future of product management as a hybrid of visionary leadership and orchestrationAnd much more!Curious to try Hunch or learn more? Connect with Matan:LinkedIn: https://www.linkedin.com/in/matankleyman/ Hunch: https://www.hunch.dev/ You can find the podcast's page, and connect with Matt and Moshe on LinkedIn:Product for Product PodcastMatt GreenMoshe MikanovskyNote: Any views mentioned in the podcast are the sole views of our hosts and guests, and do not represent the products mentioned in any way.Please leave us a review and feedback ⭐️⭐️⭐️⭐️⭐️

In this recorded episode of a live Ask a PST session held on September 16, 2025, PST Ryan Brook answered a wide variety of challenging questions from Agile practitioners! He explores the importance of vision-setting, accountability, and building a strong agile culture. Ryan shares practical strategies for leading distributed teams, breaking down silos, and addressing challenges such as complacency, unplanned work, and knowledge gaps. Drawing on his unique background as a chemistry teacher, he highlights how planning and decision-making skills translate into effective leadership.

Matai Wilson, Senior Director for Product Management at SolarWinds, joins TechPod to explore the evolving landscape of AI technology. The conversation delves into the challenges of building AI technology, the exciting future of AI in IT operations, and the upcoming features and tools SolarWinds is developing to enhance user experience and operational efficiency.

The iPhone changed everything.It's one of the most desirable and innovative products in the world.And only creative, brilliant geniuses – like you – own an iPhone.At least, that's what Apple wants you to think…But have you ever wondered why you're willing to shell out a thousand dollars or more for a phone when there are perfectly good alternatives at half the price?The answer isn't found in processing power or camera specs. It's in psychology.Join me today as we unpack the psychological tactics Apple uses to make the iPhone irresistible – and how you can apply these same approaches to grow your own business.⭐⭐⭐⭐⭐Please take 12 seconds to rate and review the podcast because it helps us find new listeners ⭐⭐⭐⭐⭐COACHING✅ To learn more about working one-on-one with Jen and book your free Connection Call, visit https://www.choicehacking.com/coaching-inviteThis month I have 3 spots available - first come, first serve.FREE RESOURCES✅ Get a free digital copy of my bestselling book for a limited time, Choice Hacking: How to use psychology and behavioral science to create an experience that sings. Get it here: https://www.choicehacking.com/free-book/ ✅ Get FREE weekly marketing psychology insights when you join my newsletter, Choice Hacking Ideas: Join the 10k+ people getting daily insights on how to 2x their marketing effectiveness (so sales and profit 2x, too) using buyer psychology. Join here: https://www.choicehacking.com/read/✅ Connect with host Jennifer Clinehens on LinkedIn, Instagram, YouTube, or TikTok @ChoiceHackingWORK WITH JEN CLINEHENS & CHOICE HACKING✅ Training & Workshops: Get your team up-skilled marketing psychology and behavioral science with a workshop or training session. Choice Hacking has worked with brands like Microsoft, T-Mobile, and McDonalds to help their teams apply behavioral science and marketing psychology.Learn more here, and get in touch using the contact form at the bottom of the page: https://www.choicehacking.com/training/✅ Join the Choice Hacking Pro community: Get a Chief Marketing Copilot (powered by psychology) for your business when you join the Pro community. Get live weekly Workshops, Group Coaching and Office Hours.Learn more here: https://choicehacking.academy/pro/✅ Buy my book in Kindle, paperback, or audiobook form: "Choice Hacking: How to use psychology and behavioral science to create an experience that sings": https://choicehacking.com/PodBook/ ★ Support this podcast ★

How is Optimizely reshaping experimentation with AI? Cory Liebgott, VP of Product at Optimizely, joins LaunchPod to share how her team is building agentic AI tools that put customer trust at the center. Cory shares how her team: Pivoted away from risky benchmarking AI to focus on agentic AI tailored to each customer's brand and data Launched Opal, Optimizely's AI suite built on Google Gemini, with strict governance to keep customer data secure Developed experimentation agents that suggest test ideas, run experiments, and summarize results Built internal AI tools like OptiGPT to streamline workflows, from PRDs to customer research, boosting productivity across teams Links LinkedIn: https://www.linkedin.com/in/cliebgott/ Optimizely: https://www.optimizely.com/ Chapters 00:00 Introduction 01:52 Implementing Agentic AI at Optimizely 04:58 The Importance of Customer Feedback 06:27 Using AI Tools Internally at Optimizely 15:30 DocuSign and the Squeaky Wheel Problem 30:36 Conclusion Follow LaunchPod on YouTube We have a new YouTube page (https://www.youtube.com/@LaunchPodPodcast)! Watch full episodes of our interviews with PM leaders and subscribe! What does LogRocket do? LogRocket's Galileo AI watches user sessions for you and surfaces the technical and usability issues holding back your web and mobile apps. Understand where your users are struggling by trying it for free at LogRocket.com (https://logrocket.com/signup/?pdr). Special Guest: Cory Liebgott.

Bernie Maloney: Problems vs. Solutions: The Great Product Owner Distinction Read the full Show Notes and search through the world's largest audio library on Agile and Scrum directly on the Scrum Master Toolbox Podcast website: http://bit.ly/SMTP_ShowNotes. The Great Product Owner: The Strategic Problem Solver Bernie describes an exemplary Product Owner from a stealth program sponsored by a CTO, where the company needed to create new intellectual property. This Great Product Owner understood that Agile operates in three dimensions: most organizations only focus on outputs and delivery (first dimension), some reach outcomes (second dimension), but the truly great ones operate in the third dimension of strategic or business agility - defining problems worth solving. This Product Owner knew that high-performing teams need to understand what problem is worth solving rather than just receiving solutions to build. They embraced the Mobius loop approach, focusing on discovering the right problems rather than jumping straight to solutions. In this segment, we refer to the Mobius Loop, and to Steve Blank's work on the job of a startup.  We also refer to the episode with Elliott Parker on the critical importance of the “startup mindset” to foster innovation in larger organizations.  The Bad Product Owner: The Backlog Jockey with Authority Issues Bernie identifies the anti-pattern of Product Owners being treated as mere "backlog jockeys" by their organizations, which forces them into solution-building mode rather than problem-solving mode. These Product Owners don't understand the importance of saying "no" and lack clarity about intent and goals. The worst case Bernie encountered was a team manager who also served as Product Owner, wielding positional authority that shut down team communication. This person would interrupt daily scrums, causing teams to revert to waiting for direction rather than self-organizing. The combination of unclear intent and positional authority creates a toxic environment that destroys team autonomy and psychological safety. Self-reflection Question: Is your Product Owner focused on defining problems worth solving, or are they primarily managing a backlog of predetermined solutions? [The Scrum Master Toolbox Podcast Recommends]

In this episode of JavaScript Jabber, I sit down with Amazon product leader Gunnar Berger to dive into the fast-evolving world of vibe coding and how it's reshaping the relationship between developers and product managers. Gunnar brings a wealth of experience from his years in IT, Citrix, and now Amazon, and shares a unique perspective on how AI tools are changing the way products get built—from idea to prototype.We talk about the shifting role of product managers, how AI is compressing traditional workflows, and what it means for developers, UX designers, and even junior devs entering the industry. From rapid prototyping to AI-assisted documentation, Gunnar opens up about both the opportunities and the challenges this new paradigm introduces. Whether you're a developer, product manager, or just curious about where AI is taking us, this conversation is packed with insights you won't want to miss.Links & ResourcesGunnar Berger on LinkedInCloud CodeCursorKiro.devIf you enjoyed this episode, don't forget to rate, review, and follow JavaScript Jabber on your favorite podcast app. And of course—share it with a friend who'd love to learn more about the future of coding and product management!Become a supporter of this podcast: https://www.spreaker.com/podcast/javascript-jabber--6102064/support.

What if product management is stuck in an outdated paradigm? In this podcast hosted by Qventus Product Director Mark Bailes, Cognizant former Product VP Jeremy Horn will be speaking on reimagining the future of product management. He challenges conventional wisdom about roadmaps, specialization, and organizational strategy, offering provocative insights into how product thinking can transform businesses across industries.

In this episode, Carlos Gonzalez de Villaumbrosia interviews Vijaye Raji, Co-founder and CEO of Statsig, the fast-growing product experimentation platform recently valued at $1.1 billion following a $100M Series C round—and just acquired by OpenAI in a landmark $1.1B all-equity deal.Before the acquisition, Vijaye spent over a decade at Facebook, where he served as VP and Head of Entertainment, launching creator tools, livestreaming features, and the earliest version of Reels. That experience inspired him to build Statsig, a platform that empowers product teams to experiment, iterate, and ship with confidence—used by leading companies like Microsoft and Notion.Now, as OpenAI's Chief Technology Officer of Applications, Vijaye will oversee product engineering for ChatGPT and help accelerate the company's enterprise roadmap. In this conversation, he shares the original vision behind Statsig, the tough lessons from going multi-product, and why AI-native experimentation is the future of product building.What you'll learn:- Vijaye's journey from Facebook's internal tools to OpenAI's CTO of Applications.- How Statsig evolved from an experimentation engine into a full decision-making stack.- Why large enterprises are ditching homegrown tools for best-in-class platforms.- How AI is powering everything from feature flagging to self-healing products.Key Takeaways

Commercial banking runs on relationships, but too often, “gut feel” drives decisions and muddies results. In this episode, Q2's new VP of Product Management, Nick Koutouras, shares how to take the emotion out of relationship management without losing the human touch. We dig into a simple, repeatable operating rhythm—account planning, pricing, measurement, and stakeholder readouts—that builds consistency, confidence, and better outcomes for bankers and leaders alike. Related Links: Nick's LinkedIn: (16) Nicholas Koutouras | LinkedIn [Blog] Commercial Loan and Deposit Pricing Market Update: August 2025 https://hub.q2.com/resources/col/pf/commercial-loan-and-deposit-pricing-market-update-august-2025 [Blog] Commercial Banking Leaders: Becoming a Smarter Bank Requires Smarter Pricing https://hub.q2.com/resources/col/pf/commercial-banking-leaders-becoming-a-smarter-bank-requires-smarter-pricing [Website] Q2 Relationship Pricing and Profitability https://www.q2.com/products/relationship-pricing-and-profitability